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      Metabolic syndrome in relation to risk of meningioma

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          Abstract

          Background

          Meningioma is a frequent primary intracranial tumor, the etiology of which is potentially related to adiposity. Metabolic syndrome (MetS) is an increasingly common disease characterized by having at least three of the following conditions: central adiposity, arterial hypertension, dyslipidemia, and insulin resistance. Only one prior study investigated MetS in relation to meningioma risk and found a positive association between the two.

          Results

          Among 2,027 cases and 20,269 controls, body mass index was positively associated with meningioma ( p-value for trend < 0.0001). Arterial hypertension was also associated with an increased risk of meningioma (OR = 1.34; 95% CI = 1.20– 1.49). By comparison, high-density lipoprotein, triglycerides, fasting serum glucose, and use of ACE-inhibitors, AT-II inhibitors, beta-blockers, diuretics, calcium antagonists, nitrates, or statins were not associated with risk of meningioma.

          Materials and Methods

          We conducted a matched case-control analysis using data from the U.K.-based Clinical Practice Research Datalink (CPRD) to analyse medical conditions and treatments related to MetS in cases with meningioma and meningioma-free controls. We identified all cases with an incident diagnosis of meningioma between 1995 and 2015 and matched each to ten controls on age, sex, calendar time, general practice, and number of years of active history in the CPRD prior to the index date. Exposures were assessed using computerised records. We conducted conditional logistic regression analysis to determine relative risks, estimated as odds ratios (ORs) with 95% confidence intervals (CIs), adjusted for confounding factors.

          Conclusions

          Obesity and arterial hypertension are positively associated with risk of meningioma. Further studies are needed to better understand potential underlying biologic mechanisms.

          Related collections

          Most cited references33

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          Validity of diagnostic coding within the General Practice Research Database: a systematic review.

          The UK-based General Practice Research Database (GPRD) is a valuable source of longitudinal primary care records and is increasingly used for epidemiological research. To conduct a systematic review of the literature on accuracy and completeness of diagnostic coding in the GPRD. Systematic review. Six electronic databases were searched using search terms relating to the GPRD, in association with terms synonymous with validity, accuracy, concordance, and recording. A positive predictive value was calculated for each diagnosis that considered a comparison with a gold standard. Studies were also considered that compared the GPRD with other databases and national statistics. A total of 49 papers are included in this review. Forty papers conducted validation of a clinical diagnosis in the GPRD. When assessed against a gold standard (validation using GP questionnaire, primary care medical records, or hospital correspondence), most of the diagnoses were accurately recorded in the patient electronic record. Acute conditions were not as well recorded, with positive predictive values lower than 50%. Twelve papers compared prevalence or consultation rates in the GPRD against other primary care databases or national statistics. Generally, there was good agreement between disease prevalence and consultation rates between the GPRD and other datasets; however, rates of diabetes and musculoskeletal conditions were underestimated in the GPRD. Most of the diagnoses coded in the GPRD are well recorded. Researchers using the GPRD may want to consider how well the disease of interest is recorded before planning research, and consider how to optimise the identification of clinical events.
            • Record: found
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            Validity of the general practice research database.

            The United Kingdom General Practice Research Database (GPRD) is an office-based, computer-generated, medical resource designed from its inception to be used for epidemiologic research. A distinct version of the GPRD is maintained by the Boston Collaborative Drug Surveillance Program and has been the source of more than 130 scientific articles primarily addressing drug safety issues. We reviewed evidence related to the validity of the GPRD. Specifically, with our extensive experience with this automated database, we evaluated the quality and completeness of the data that it contains.
              • Record: found
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              • Article: not found

              Lifestyle factors and primary glioma and meningioma tumours in the Million Women Study cohort

              Previous studies have reported inconsistent results on the effect of anthropometric and lifestyle factors on the risk of developing glioma or meningioma tumours. A prospective cohort of 1.3 million middle-aged women was used to examine these relationships. During 7.7 million women-years of follow-up, a total of 1563 women were diagnosed with a primary incident central nervous system tumour: 646 tumours were classified as glioma and 390 as meningioma. Our results show that height is related to the incidence of all central nervous system tumours with a risk of about 20% per 10 cm increase in height (relative risk=1.19, 95% CI=1.10–1.30 per 10 cm increase in height, P<0.001): the risks did not differ significantly between specified glioma and meningioma. Body mass index (BMI) was also related to central nervous system tumour incidence, with a risk of about 20% per 10 kg m−2 increase in BMI (relative risk=1.17, 95% CI=1.03–1.34 per 10 kg m−2 increase in BMI, P=0.02). Smoking status, alcohol intake, socioeconomic level, parity, age at first birth, and oral contraceptive use were not associated with the risk of glioma or meningioma tumours. In conclusion, for women in the United Kingdom, the incidence of glioma or meningioma tumours increases with increasing height and increasing BMI.

                Author and article information

                Journal
                Oncotarget
                Oncotarget
                Oncotarget
                ImpactJ
                Oncotarget
                Impact Journals LLC
                1949-2553
                10 January 2017
                26 November 2016
                : 8
                : 2
                : 2284-2292
                Affiliations
                1 Department of Neurology and Wilhelm Sander-NeuroOncology Unit, Regensburg University Hospital, Regensburg, Germany
                2 Basel Pharmacoepidemiology Unit, Division of CIinical Pharmacy and Epidemiology, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
                3 Boston Collaborative Drug Surveillance Program, Boston University School of Public Health, Boston University, MA, USA
                4 Hospital Pharmacy, University Hospital Basel, Basel, Switzerland
                5 Department of Neurosurgery, Regensburg University Hospital, Regensburg, Germany
                6 Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
                Author notes
                Correspondence to: Corinna Seliger, corinna.seliger@ 123456klinik.uni-regensburg.de
                Article
                13667
                10.18632/oncotarget.13667
                5356799
                27903988
                39855aa5-9274-45f5-8915-38eb3c4aa071
                Copyright: © 2017 Seliger et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 August 2016
                : 21 November 2016
                Categories
                Research Paper

                Oncology & Radiotherapy
                meningioma,epidemiology,case-control study,metabolic syndrome
                Oncology & Radiotherapy
                meningioma, epidemiology, case-control study, metabolic syndrome

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